Title :
Reconfiguration and DG placement considering critical system condition
Author :
Mirazimi, S.J. ; Nematollahi, Maryam ; Ashourian, M.H. ; Mirahmadi, Sh
Author_Institution :
Univ. of Southern Queensland, Toowoomba, QLD, Australia
Abstract :
This paper offers a method to reconfiguration and DG placement simultaneously considering critical system condition in distribution systems. The critical system conditions like tripping a 63/20kv distribution transformer and adding an external maneuver loud. Additional finding place and power of DG in this research, optimal power factor is obtained by the given algorithm. Reconfiguration of distribution system is implemented by adaptive genetic algorithm and graph theory to find an optimal structure system with place and power of distributed generators. The offered algorithm is effectively implemented on a 33-bus IEEE test system and a real life distribution system in Iran by Digsilent and. Matlab software.
Keywords :
distributed power generation; genetic algorithms; graph theory; power factor; transformers; 33-bus IEEE test system; DG placement; Digsilent software; Iran; adaptive genetic algorithm; critical system condition; distributed generator; distribution transformer; external maneuver loud; graph theory; optimal power factor; Actuators; Biological cells; Genetic algorithms; Linear programming; Optimization; Power system stability; Reactive power;
Conference_Titel :
Power Engineering and Optimization Conference (PEOCO), 2013 IEEE 7th International
Conference_Location :
Langkawi
Print_ISBN :
978-1-4673-5072-3
DOI :
10.1109/PEOCO.2013.6564632
